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DataScience Manager Knowledge Management

DataScience Manager Knowledge Management

eBayBengaluru, Karnataka, India
30+ days ago
Job description

This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

About the Role

At the intersection of

AI, data science, and product discovery , we're crafting the next generation of eCommerce experiences-and we're looking for a dynamic leader to help make that vision real.

As

Manager of Data Science - Knowledge Management , you'll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You'll lead with both hands-on expertise and strategic insight, bridging the worlds of

LLMs, taxonomy, knowledge graphs, and scalable analytics .

This is a

high-agency, high-impact role

embedded in our

Product Knowledge organization , where you'll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.

What You'll Lead & Deliver

Optimize Product Knowledge at Scale

Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.

Build LLM-Powered Solutions

Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.

Design Model Evaluation Frameworks

Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.

Turn Data into Strategy

Translate insights into action by partnering with Product, Engineering, and AI teams-driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.

Prototype & Experiment Rapidly

Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.

Partner for Production Impact

Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.

What You Bring

7+ years of experience

in analytics, data science, or ML roles

Advanced proficiency in

SQL and Python

for analytics, automation, and experimentation

Familiarity with

eCommerce discovery , product classification, and search or recommendation systems

Hands-on experience with

LLMs, prompt engineering, or RAG

(preferred but not required)

Strong grasp of

model evaluation , including metrics design and benchmarking

A startup mindset-bias for action, high ownership, and comfort with ambiguity

Excellent communicator with the ability to

influence cross-functional stakeholders

Why You'll Love It Here

Drive real impact at the

core of product discovery innovation

Work hands-on with

cutting-edge AI and data platforms

Collaborate with some of the best minds in

AI, Product, and Engineering

Own high-visibility projects in a

startup-like, high-trust culture

Build

scalable, magical, and relevant

product data systems used by millions

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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement

to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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Knowledge Management • Bengaluru, Karnataka, India